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Zhang Y, Li Y, He L. Correlation between migraine and cerebral small vessel disease: A case-control study. Eur J Pain 2024; 28:551-564. [PMID: 37985464 DOI: 10.1002/ejp.2199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 10/12/2023] [Accepted: 10/25/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Microcirculatory pathology is one of the pathophysiological theories of migraine, which may present as visually subclinical lesions. Image markers of cerebral small vessel disease (CSVD) have been investigated in elderly migraineurs. However, past studies looked at only part of image features, and the conclusions may have been hindered by confounding factors. The relationship between migraine and CSVD signs needs reliable demonstrations. METHODS We conducted a case-control study by recruiting episodic young migraineurs from a tertiary headache centre, with tension-type headache (TTH) and healthy controls. Distinct image features of microvascular damage and baseline characteristics across groups were assessed, and multivariate linear regression was performed to evaluate the risk factors for image abnormalities in migraineurs. RESULTS Forty-eight migraineurs, 32 TTHs and 49 healthy controls were included. The median age was 32 year-old. 58.7% of the participants were female. The Scheltens score and volume of white matter hyperintensities (WMHs) in migraineurs, and the number of Virchow-Robin spaces (VRSs) in both migraineurs and TTHs were different from those in normal controls. No lacunar infarct-like lesions (ILLs) or cerebral microbleeds (CMBs) were found. Age, education level (high level: β = -2.23, lobar WMHs), attack duration (long duration: β = 3.81, lobar WMHs) and attack frequency were independent risk factors for Scheltens score and volume of WMH in migraineurs. Migraine aura (β = -2.389), attack frequency and education level were correlated with the number of VRSs. CONCLUSIONS Migraine was associated with WMHs and VRSs. Aura, attack duration, attack frequency, age and education level were risk factors for image abnormalities of CVSD in migraineurs. SIGNIFICANCE This study provides a novel and comprehensive landscape of CSVD MRI features in young migraineurs, and it fills the blank of CMBs and VRSs which received less attention, with more persuasive, more reliable and stronger evidence of the association between CSVD and migraine. Our results also imply some new feature of TTH and the possible pathophysiology of the migraine course as well as new clues for the early management of migraine in terms of visual brain damage.
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Affiliation(s)
- Yanan Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Yanbo Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- Research Laboratory of Cancer Epigenetics and Genomics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Li He
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
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Kota KJ, Dawson A, Papas J, Sotelo V, Su G, Li M, Lee W, Estervil J, Marquez M, Sarkar S, Lopez LL, Hu WT. Factors associated with attitudes toward research MRI in older Asian Americans. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2024; 10:e12449. [PMID: 38356478 PMCID: PMC10865479 DOI: 10.1002/trc2.12449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/14/2023] [Accepted: 12/11/2023] [Indexed: 02/16/2024]
Abstract
INTRODUCTION South Asian (SA) and East Asian (EA) older adults represent the fastest-growing racial/ethnic groups of Americans at risk for dementia. While recruiting older SA adults into a brain health study, we encountered unexpected hesitancy toward structural brain magnetic resonance imaging (MRI) analysis and stigmatizing attitudes related to internal locus of control (LoC) for future dementia risks. We hypothesized that support for MRI-related research was influenced by these attitudes as well as personal MRI experience, perceived MRI safety, and concerns for personal risk for future dementia/stroke. METHODS We developed a brief cross-sectional survey to assess older adults' MRI experiences and perceptions, desire to learn of six incidental findings of increasing impact on health, and attitudes related to dementia (including LoC) and research participation. We recruited a convenience sample of 256 respondents (74% reporting as 50+) from the New Jersey/New York City area to complete the survey (offered in English, Chinese, Korean, and Spanish) and modeled the proportional odds (PO) for favorable attitudes toward research activities. RESULTS Seventy-seven SA and 84 EA respondents were analyzed alongside 95 White, Black, or Hispanic adults. White (PO = 2.54, p = 0.013) and EA (PO = 2.14, p = 0.019) respondents were both more likely than SA respondents to endorse healthy volunteers' participation in research, and the difference between White and SA respondents was mediated by the latter's greater internal LoC for dementia risks. EA respondents had more worries for future dementia/stroke than SA respondents (p = 0.006) but still shared SA respondents' lower wish (measured by proportion of total) to learn of incidental MRI findings. DISCUSSION SA-and EA compared to SA-older adults had low desire to learn of incidental MRI findings but had different attitudes toward future dementia/stroke risks. A culturally appropriate protocol to disclose incidental MRI findings may improve SA and EA participation in brain health research. Highlights Older Asian Americans have limited interest in incidental findings on research MRISouth Asians are most likely to attribute dementia to people's own behaviorsSouth Asians' attitudes mediate lower support for healthy volunteers in researchSouth and East Asians differ in dementia worries and research-related attitudes.
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Affiliation(s)
- Karthik J Kota
- Departments of NeurologyInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
- Departments of MedicineRutgers‐Robert Wood Johnson Medical SchoolInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - Alice Dawson
- Departments of NeurologyInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - Julia Papas
- Departments of NeurologyInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - Victor Sotelo
- Departments of NeurologyInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - Guibin Su
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - Mei‐Ling Li
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - Woowon Lee
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - Jaunis Estervil
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - Melissa Marquez
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - Shromona Sarkar
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - Lisa Lanza Lopez
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
| | - William T. Hu
- Departments of NeurologyInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
- Center for Healthy AgingInstitute for Health, Health Care Policy, and Aging ResearchRutgers Biomedical and Health SciencesNew BrunswickNew JerseyUSA
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Kota K, Dawson A, Papas J, Sotelo V, Su G, Li ML, Lee W, Estervil J, Marquez M, Sarkar S, Lopez LL, Hu WT. Too much information? Asian Americans' preferences for incidental brain MRI findings. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.17.23288629. [PMID: 37162874 PMCID: PMC10168418 DOI: 10.1101/2023.04.17.23288629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
INTRODUCTION South Asian (SA) and East Asian (EA) older adults represent the fastest growing group of Americans at risk for dementia, but their participation in aging and dementia research has been limited. While recruiting healthy SA older adults into a brain health study, we encountered unexpected hesitancy towards structural brain MRI analysis along with some stigmatizing attitudes related to internal locus of control (LoC) for future dementia risks. We hypothesized that support for MRI-related research was influenced by these attitudes as well as one's own MRI experience, perceived MRI safety, and concerns for one's own risks for future dementia/stroke. METHODS We developed a brief cross-sectional survey to assess older adults' MRI experiences and perceptions, desire to learn of six incidental findings of increasing health implications, and attitudes related to dementia as well as research participation. We recruited a convenience sample of 256 respondents (74% reporting as 50+) from the New Jersey/New York City area to complete the survey, and modeled the proportional odds (P.O.) for pro-research attitudes. RESULTS 77 SA and 84 EA respondents were analyzed with 95 non-Asian adults. White (P.O.=2.54, p=0.013) and EA (P.O.=2.14, p=0.019) respondents were both more likely than SA respondents to endorse healthy volunteers' participation in research, and the difference between White and SA respondents was mediated by the latter's greater internal LoC for dementia risks. EA respondents had more worries for future dementia/stroke than SA respondents (p=0.006), but still shared SA respondents' low desire to learn of incidental MRI findings. DISCUSSION SA and EA older adults had different attitudes towards future dementia/stroke risks, but shared a low desire to learn of incidental MRI findings. A culturally-appropriate protocol to disclose incidental MRI findings may improve SA and EA participation in brain health research.
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Affiliation(s)
- Karthik Kota
- Department of Neurology Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
- Department of Medicine, Rutgers-Robert Wood Johnson Medical School, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - Alice Dawson
- Department of Neurology Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - Julia Papas
- Department of Neurology Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - Victor Sotelo
- Department of Neurology Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - Guibin Su
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - Mei-Ling Li
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - Woowon Lee
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - Jaunis Estervil
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - Melissa Marquez
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - Shromona Sarkar
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - Lisa Lanza Lopez
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
| | - William T. Hu
- Department of Neurology Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
- Department of Center for Healthy Aging, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, 08901
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Wang Y, Jiang Y, Wu W, Xu K, Zhao Q, Tan Z, Liang X, Fan M, Xiao Z, Zheng L, Ding S, Dong Q, Hong Z, Jin L, Chen X, Ding D, Cui M. Education, neighborhood environment, and cognitive decline: Findings from two prospective cohort studies of older adults in China. Alzheimers Dement 2023; 19:560-568. [PMID: 35639636 DOI: 10.1002/alz.12679] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 02/17/2022] [Accepted: 03/02/2022] [Indexed: 11/10/2022]
Abstract
INTRODUCTION The impacts of education on cognitive decline across different neighborhood environments (NEs) have rarely been studied. METHODS We investigated and compared the associations between educational attainment and cognitive decline using data of 1286 participants from the Taizhou Imaging Study (TIS) and the Shanghai Aging Study (SAS). RESULTS Compared with low-educated participants, in TIS with disadvantaged NE, high-educated participants manifested a significantly slower decline in global cognition (.062 Z score per year, P < .001), memory (.054 Z score per year, P < .05), and attention (.065 Z score per year, P < .01), whereas in SAS with advanced NE, highly educated individuals exhibited a slower decline only in attention (.028 Z score per year, P < .05). DISCUSSION We observed the additive effect of educational attainment and NE on cognitive decline in older adults. Education is especially important for maintaining cognitive health in a disadvantaged environment.
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Affiliation(s)
- Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Wanqing Wu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Biostatistics, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Ziyi Tan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Xiaoniu Liang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Zhenxu Xiao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Zheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Saineng Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Zhen Hong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ding Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.,MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
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Pham W, Lynch M, Spitz G, O’Brien T, Vivash L, Sinclair B, Law M. A critical guide to the automated quantification of perivascular spaces in magnetic resonance imaging. Front Neurosci 2022; 16:1021311. [PMID: 36590285 PMCID: PMC9795229 DOI: 10.3389/fnins.2022.1021311] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/16/2022] [Indexed: 12/15/2022] Open
Abstract
The glymphatic system is responsible for waste clearance in the brain. It is comprised of perivascular spaces (PVS) that surround penetrating blood vessels. These spaces are filled with cerebrospinal fluid and interstitial fluid, and can be seen with magnetic resonance imaging. Various algorithms have been developed to automatically label these spaces in MRI. This has enabled volumetric and morphological analyses of PVS in healthy and disease cohorts. However, there remain inconsistencies between PVS measures reported by different methods of automated segmentation. The present review emphasizes that importance of voxel-wise evaluation of model performance, mainly with the Sørensen Dice similarity coefficient. Conventional count correlations for model validation are inadequate if the goal is to assess volumetric or morphological measures of PVS. The downside of voxel-wise evaluation is that it requires manual segmentations that require large amounts of time to produce. One possible solution is to derive these semi-automatically. Additionally, recommendations are made to facilitate rigorous development and validation of automated PVS segmentation models. In the application of automated PVS segmentation tools, publication of image quality metrics, such as the contrast-to-noise ratio, alongside descriptive statistics of PVS volumes and counts will facilitate comparability between studies. Lastly, a head-to-head comparison between two algorithms, applied to two cohorts of astronauts reveals how results can differ substantially between techniques.
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Affiliation(s)
- William Pham
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Miranda Lynch
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Gershon Spitz
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Monash-Epworth Rehabilitation Research Centre, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Terence O’Brien
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
- Department of Neurology, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Lucy Vivash
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
- Department of Neurology, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Benjamin Sinclair
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Meng Law
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Radiology, Alfred Health Hospital, Melbourne, VIC, Australia
- Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia
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Lv X, Jiang Y, Yang D, Zhu C, Yuan H, Yuan Z, Suo C, Chen X, Xu K. The role of metabolites under the influence of genes and lifestyles in bone density changes. Front Nutr 2022; 9:934951. [PMID: 36118775 PMCID: PMC9481263 DOI: 10.3389/fnut.2022.934951] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/04/2022] [Indexed: 11/25/2022] Open
Abstract
Purpose Osteoporosis is a complex bone disease influenced by numerous factors. Previous studies have found that some metabolites are related to bone mineral density (BMD). However, the associations between metabolites and BMD under the influence of genes and lifestyle have not been fully investigated. Methods We analyzed the effect of metabolites on BMD under the synergistic effect of genes and lifestyle, using the data of 797 participants aged 55–65 years from the Taizhou Imaging Study. The cumulative sum method was used to calculate the polygenic risk score of SNPs, and the healthful plant-based diet index was used to summarize food intake. The effect of metabolites on BMD changes under the influence of genes and lifestyle was analyzed through interaction analysis and mediation analysis. Results Nineteen metabolites were found significantly different in the osteoporosis, osteopenia, and normal BMD groups. We found two high-density lipoprotein (HDL) subfractions were positively associated with osteopenia, and six very-low-density lipoprotein subfractions were negatively associated with osteopenia or osteoporosis, after adjusting for lifestyles and genetic factors. Tea drinking habits, alcohol consumption, smoking, and polygenic risk score changed BMD by affecting metabolites. Conclusion With the increased level of HDL subfractions, the risk of bone loss in the population will increase; the risk of bone loss decreases with the increased level of very-low-density lipoprotein subfractions. Genetic factors and lifestyles can modify the effects of metabolites on BMD. Our results show evidence for the precise prevention of osteoporosis.
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Affiliation(s)
- Xuewei Lv
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Dantong Yang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Chengkai Zhu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Huangbo Yuan
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Ziyu Yuan
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
- Ministry of Education Key Laboratory of Public Health Safety, Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
- *Correspondence: Xingdong Chen,
| | - Kelin Xu
- Ministry of Education Key Laboratory of Public Health Safety, Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Kelin Xu,
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Association between antiplatelet medication and cerebral microbleeds in stroke-free population. J Geriatr Cardiol 2022; 19:409-417. [PMID: 35845161 PMCID: PMC9248274 DOI: 10.11909/j.issn.1671-5411.2022.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Cerebral microbleeds (CMBs) may increase the risk of future intracerebral hemorrhage and ischemic stroke. However, It is unclear whether antiplatelet medication is associated with CMBs. This study aimed to investigate the association between antiplatelet medication and CMBs in a community-based stroke-free population. METHODS In this cross-sectional study, stroke-free participants aged 18-85 years were recruited from a community in Beijing, China. Demographic, clinical, and antiplatelet medication data were collected through a questionnaire, and all participants underwent blood tests and brain magnetic resonance imaging at 3.0T. The presence, count, and location of CMBs were evaluated using susceptibility-weighted imaging. The association between antiplatelet medication and the presence of CMBs was analyzed using multivariable logistic regression. The associations between antiplatelet medication and CMBs by location (lobar, deep brain or infratentorial, and mixed regions) were also analyzed using multinomial logistic regression. A linear regression analysis was conducted to determine the association between antiplatelet medication and the log-transformed number of CMBs. RESULTS Of the 544 participants (mean age: 58.65 ± 13.66 years, 217 males), 119 participants (21.88%) had CMBs, and 64 participants (11.76%) used antiplatelet medication. Antiplatelet medication was found to be associated with CMBs at any location [odds ratio (OR) = 2.39, 95% CI: 1.24-4.58] and lobar region (OR = 2.83, 95% CI: 1.36-5.86), but not with the number of CMBs (β = 0.14, 95% CI: -0.21-0.48). Among antiplatelet medications, aspirin use was found to be associated with any CMB (OR = 3.17, 95% CI: 1.49-6.72) and lobar CMBs (OR = 3.61, 95% CI: 1.57-8.26). CONCLUSIONS Antiplatelet medication was associated with CMBs in stroke-free participants, particularly lobar CMBs. Among antiplatelet medications, aspirin use was associated with any CMB and lobar CMBs. Our findings suggest that it might be essential to optimize the management of antiplatelet medication in the stroke-free population with a higher burden of vascular risk factors to reduce the potential risk of CMBs.
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Liang C, Wang J, Feng M, Zhang N, Guo L. White matter changes, duration of hypertension, and age are associated with cerebral microbleeds in patients with different stages of hypertension. Quant Imaging Med Surg 2022; 12:119-130. [PMID: 34993065 DOI: 10.21037/qims-21-28] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 05/31/2021] [Indexed: 01/16/2023]
Abstract
BACKGROUND We aimed to investigate risk factors for the presence and number of cerebral microbleeds (CMBs) in patients with different stages of hypertension stages, with an emphasis on the relationship between white matter changes (WMCs) and CMBs. METHODS Since 2016, participants aged 40 years or more have been evaluated for the presence of CMBs using enhanced 3D multiecho GE T2*-weighted angiography (ESWAN) sequences. The Mann-Whitney U test and Pearson χ2 test were used to compare the clinical characteristics between the CMB and no-CMB patient groups. Furthermore, we used Spearman's rank correlation analysis to examine the associations between the degree of CMB severity and other important factors. RESULTS CMBs were detected in 110 (36.7%) of 300 participants. Among patients with stage 2 hypertension, the majority also had CMBs (61.8%, 68/110). CMBs were positively correlated with age, hypertension stage, duration of hypertension, WMCs, and silent cerebral infarction. Patients with grade 3 WMCs were significantly more likely to have CMBs than those without WMCs; this association was true for both patients with stage 1 and those with stage 2 hypertension. In patients with stage 1 or stage 2 hypertension lasting longer than 20 years, the majority had CMBs (69.0%, 29/42; 69.1%, 47/68). The results of binary logistic regression indicated that a more severe hypertension stage, longer duration of hypertension, aging, having silent cerebral infarction and higher values of WMC increase the likelihood of the occurrence of CMBs. CONCLUSIONS CMBs detected in hypertensive patients were more likely to occur in deep structures, and the grade of WMCs and duration of hypertension were more closely associated with the CMB degree than with age.
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Affiliation(s)
- Changhu Liang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jing Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Mengmeng Feng
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Nan Zhang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Lingfei Guo
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
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9
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Prevalence of incidental intracranial findings on magnetic resonance imaging: a systematic review and meta-analysis. Acta Neurochir (Wien) 2022; 164:2751-2765. [PMID: 35525892 PMCID: PMC9519720 DOI: 10.1007/s00701-022-05225-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 04/22/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND As the volume and fidelity of magnetic resonance imaging (MRI) of the brain increase, observation of incidental findings may also increase. We performed a systematic review and meta-analysis to determine the prevalence of various incidental findings. METHODS PubMed/MEDLINE, EMBASE and SCOPUS were searched from inception to May 24, 2021. We identified 6536 citations and included 35 reports of 34 studies, comprising 40,777 participants. A meta-analysis of proportions was performed, and age-stratified estimates for each finding were derived from age-adjusted non-linear models. RESULTS Vascular abnormalities were observed in 423/35,706 participants (9.1/1000 scans, 95%CI 5.2-14.2), ranging from 2/1000 scans (95%CI 0-7) in 1-year-olds to 16/1000 scans (95%CI 1-43) in 80-year-olds. Of these, 204/34,306 were aneurysms (3.1/1000 scans, 95%CI 1-6.3), which ranged from 0/1000 scans (95%CI 0-5) at 1 year of age to 6/1000 scans (95%CI 3-9) at 60 years. Neoplastic abnormalities were observed in 456/39,040 participants (11.9/1000 scans, 95%CI 7.5-17.2), ranging from 0.2/1000 scans (95%CI 0-10) in 1-year-olds to 34/1000 scans (95%CI 12-66) in 80-year-olds. Meningiomas were the most common, in 246/38,076 participants (5.3/1000 scans, 95%CI 2.3-9.5), ranging from 0/1000 scans (95%CI 0-2) in 1-year-olds to 17/1000 scans (95%CI 4-37) in 80-year-olds. Chiari malformations were observed in 109/27,408 participants (3.7/1000 scans, 95%CI 1.8-6.3), pineal cysts in 1176/32,170 (9/1000 scans, 95%CI 1.8-21.4) and arachnoid cysts in 414/36,367 (8.5/1000 scans, 95%CI 5.8-11.8). CONCLUSION Incidental findings are common on brain MRI and may result in substantial resource expenditure and patient anxiety but are often of little clinical significance.
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10
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Prevalence of incidental meningiomas and gliomas on MRI: a meta-analysis and meta-regression analysis. Acta Neurochir (Wien) 2021; 163:3401-3415. [PMID: 34227013 DOI: 10.1007/s00701-021-04919-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 06/14/2021] [Indexed: 01/24/2023]
Abstract
BACKGROUND The chance of incidentally detecting brain tumors is increasing as the utilization of magnetic resonance imaging (MRI) becomes more prevalent. In this background, knowledge is accumulating in relation to the prediction of their clinical sequence. However, their prevalence-especially the prevalence of glioma-has not been adequately investigated according to age, sex, and region. METHOD We systematically reviewed the articles according to the PRISMA statement and calculated the prevalence of meningiomas and diffuse gliomas in adults using a generalized linear mixed model. Specifically, the differences related to age, sex, and region were investigated. RESULTS The pooled prevalence of incidental meningiomas in MRI studies was 0.52% (95% confidence interval (CI) [0.34-0.78]) in 37,697 individuals from 36 studies. A meta-regression analysis showed that the prevalence was significantly higher in elderly individuals, women, and individuals outside Asia; this remained statistically significant in the multivariate meta-regression analysis. The prevalence reached to 3% at 90 years of age. In contrast, the prevalence of gliomas in 30,918 individuals from 18 studies was 0.064% (95%CI [0.040 - 0.104]). The meta-regression analysis did not show a significant relationship between the prevalence and age, male sex, or region. The prevalence of histologically confirmed glioma was 0.026% (95%CI [0.013-0.052]). CONCLUSIONS Most of meningiomas, especially those in elderlies, remained asymptomatic, and their prevalence increased with age. However, the prevalence of incidental gliomas was much lower and did not increase with age. The number of gliomas that developed and the number that reached a symptomatic stage appeared to be balanced.
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11
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Che Mohd Nassir CMN, Damodaran T, Yusof SR, Norazit A, Chilla G, Huen I, K. N. BP, Mohamed Ibrahim N, Mustapha M. Aberrant Neurogliovascular Unit Dynamics in Cerebral Small Vessel Disease: A Rheological Clue to Vascular Parkinsonism. Pharmaceutics 2021; 13:1207. [PMID: 34452169 PMCID: PMC8398765 DOI: 10.3390/pharmaceutics13081207] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/29/2021] [Accepted: 08/03/2021] [Indexed: 12/26/2022] Open
Abstract
The distinctive anatomical assemble and functionally discrete multicellular cerebrovasculature dynamics confer varying rheological and blood-brain barrier permeabilities to preserve the integrity of cerebral white matter and its neural microenvironment. This homeostasis intricately involves the glymphatic system that manages the flow of interstitial solutes, metabolic waste, and clearance through the venous circulation. As a physiologically integrated neurogliovascular unit (NGVU) serving a particularly vulnerable cerebral white matter (from hypoxia, metabolic insults, infection, and inflammation), a likely insidious process over a lifetime could inflict microenvironment damages that may lead to pathological conditions. Two such conditions, cerebral small vessel disease (CSVD) and vascular parkinsonism (VaP), with poorly understood pathomechanisms, are frequently linked to this brain-wide NGVU. VaP is widely regarded as an atypical parkinsonism, described by cardinal motor manifestations and the presence of cerebrovascular disease, particularly white matter hyperintensities (WMHs) in the basal ganglia and subcortical region. WMHs, in turn, are a recognised imaging spectrum of CSVD manifestations, and in relation to disrupted NGVU, also include enlarged perivascular spaces. Here, in this narrative review, we present and discuss on recent findings that argue for plausible clues between CSVD and VaP by focusing on aberrant multicellular dynamics of a unique integrated NGVU-a crossroad of the immune-vascular-nervous system-which may also extend fresher insights into the elusive interplay between cerebral microvasculature and neurodegeneration, and the potential therapeutic targets.
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Affiliation(s)
- Che Mohd Nasril Che Mohd Nassir
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia;
| | - Thenmoly Damodaran
- Centre for Drug Research, Universiti Sains Malaysia, Minden 11800, Penang, Malaysia; (T.D.); (S.R.Y.)
| | - Siti R. Yusof
- Centre for Drug Research, Universiti Sains Malaysia, Minden 11800, Penang, Malaysia; (T.D.); (S.R.Y.)
| | - Anwar Norazit
- Department of Biomedical Science, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Selangor, Malaysia;
| | - Geetha Chilla
- A*STAR Institute of Bioengineering and Bioimaging, Helios, 11 Biopolis Way, Singapore 138667, Singapore; (G.C.); (I.H.); (B.P.K.N.)
| | - Isaac Huen
- A*STAR Institute of Bioengineering and Bioimaging, Helios, 11 Biopolis Way, Singapore 138667, Singapore; (G.C.); (I.H.); (B.P.K.N.)
| | - Bhanu Prakash K. N.
- A*STAR Institute of Bioengineering and Bioimaging, Helios, 11 Biopolis Way, Singapore 138667, Singapore; (G.C.); (I.H.); (B.P.K.N.)
| | - Norlinah Mohamed Ibrahim
- Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Selangor, Malaysia;
| | - Muzaimi Mustapha
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia;
- Hospital Universiti Sains Malaysia, Jalan Raja Perempuan Zainab II, Kubang Kerian 16150, Kelantan, Malaysia
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12
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Sharavii VB, Shnayder NA, Sharavii LK, Petrova MM, Nasyrova RF. Empty Sella Prevalence: Step By Step. RUSSIAN OPEN MEDICAL JOURNAL 2021. [DOI: 10.15275/rusomj.2021.0206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
An empty sella (ES), also known as an empty sella turcica (empty pituitary fossa) is defined as an intrasellar herniation of subarachnoid space within the sella which leads to flattening of the pituitary gland towards the posteroinferior wall. Purpose — to analyze studies of ES prevalence in the world. Methods — We carried out a systematic search in both Russian and English databases (E-library, PubMed, GoogleScholar, OxfordPress, ClinicalKeys) using keywords “empty sella”, “empty sella turcica”, “empty pituitary fossa”, “prevalence” and their combinations. The period of search: 2000-2020. It is also worth noting that earlier publications of historical interest were included in the review. Results — We have analyzed 23 studies. They can be roughly devided into two groups: the first group – screening studies of ES, the second group – targeted studies of ES.
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Affiliation(s)
- Victoria B. Sharavii
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Natalya A. Shnayder
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint-Petersburg; V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - Lada K. Sharavii
- Public healthcare institution of Republic of Tuva Republican children’s hospital, Kyzyl, Russia
| | - Marina M. Petrova
- V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - Regina F. Nasyrova
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint-Petersburg, Russia; Kazan Federal University, Kazan, Russia
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13
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Wang Y, Li C, Ding M, Lin L, Li P, Wang Y, Dong Q, Yang Y, Cui M. Carotid Atherosclerotic Calcification Characteristics Relate to Post-stroke Cognitive Impairment. Front Aging Neurosci 2021; 13:682908. [PMID: 34113247 PMCID: PMC8185032 DOI: 10.3389/fnagi.2021.682908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 04/29/2021] [Indexed: 11/24/2022] Open
Abstract
Background: Together with cerebral small vessel disease (CSVD), large vessel atherosclerosis is considered to be an equally important risk factor in the progression of vascular cognitive impairment. This article aims to investigate whether carotid atherosclerotic calcification is associated with the increased risk of post-stroke cognitive impairment (PSCI). Methods: A total of 128 patients (mean age: 62.1 ± 12.2 years, 37 women) suffering from ischemic stroke underwent brain/neck computer tomography angiography examination. The presence and characteristic of carotid calcification (size, number and location) were analyzed on computer tomography angiography. White matter hyperintensity (WMH) was assessed using Fazekas scales. PSCI was diagnosed based on a battery of neuropsychological assessments implemented 6−12 months after stroke. Results: Among 128 patients, 26 developed post-stroke dementia and 96 had carotid calcification. Logistic regression found carotid calcification (odds ratio [OR] = 7.15, 95% confidence interval [CI]: 1.07–47.69) and carotid artery stenosis (OR = 6.42, 95% CI: 1.03–40.15) both significantly increased the risk for post-stroke dementia. Moreover, multiple, thick/mixed, and surface calcifications exhibited an increasing trend in PSCI (Ptrend = 0.004, 0.016, 0.045, respectively). The prediction model for post-stroke dementia including carotid calcification (area under curve = 0.67), WMH (area under curve = 0.67) and other covariates yielded an area under curve (AUC) of 0.90 (95% CI: 0.82–0.99). Conclusion: Our findings demonstrated that the quantity and location of carotid calcifications were independent indicators for PSCI. The significant role of large vessel atherosclerosis in PSCI should be concerned in future study.
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Affiliation(s)
- Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chanchan Li
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mengyuan Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Luyi Lin
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Peixi Li
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yizhe Wang
- Department of Medicine, Nanchang University, Nanchang, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,The State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Yanmei Yang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,The State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
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14
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Zhu S, Xu K, Jiang Y, Zhu C, Suo C, Cui M, Wang Y, Yuan Z, Xue J, Wang J, Zhang T, Zhao G, Ye W, Huang T, Lu M, Tian W, Jin L, Chen X. The gut microbiome in subclinical atherosclerosis: a population-based multi-phenotype analysis. Rheumatology (Oxford) 2021; 61:258-269. [PMID: 33769467 DOI: 10.1093/rheumatology/keab309] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The altered microbiota, considered as quantitative traits, has also been identified to play pivotal roles in the host vascular physiology and might contribute to diseases. To understand the role of gut microbiota on vascular physiology in the sub-clinical elderly population and how lifestyles affect the composition of host gut microbiota to further impact the pathogenesis of vascular diseases. METHODS Performed a population-based fecal metagenomic study over 569 elderly asymptomatic sub-clinical individuals in rural China. An association network was built based on clinical measurements and detailed epidemiologic questionnaires, including blood chemistry, arterial stiffness, carotid ultrasonography, and metagenomic datasets. RESULTS Carotid arterial atherosclerosis indices, including intima-media thickness (IMT), were shown essentially in the network, and were significantly associated with living habits, socio-economic status, and diet. Using mediation analysis, we found that higher frequency of taking fresh fruits, fresh vegetables, and more exercise significantly reduces carotid arteries atherosclerosis in terms of IMT, PSV and EDV values the through the mediation of Alistepes, Oligella, and Prevotella. The gut microbes explained 16.5% of the mediation effect of lifestyles on the pathogenesis of carotid atherosclerosis. After adjusted, Faecalicatena (OR = 0.20∼0.30) was shown protective in the formation of carotid athersclerosis independently, while Libanicoccus (OR = 2.39∼2.43) were hazardous to carotid arterial IMTs. KEGG/KO analyses revealed a loss of anti-inflammation function in IMT subjects. CONCLUSIONS Our study provided a Chinese population-wide phenotype-metagenomic network, revealing association and mediation effect of gut microbiota on carotid artery atherosclerosis, hinting at a therapeutic and preventive potential of microbiota in vascular diseases.
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Affiliation(s)
- Sibo Zhu
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Department of Biostatistics, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Chengkai Zhu
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ziyu Yuan
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Jiangli Xue
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Tingting Huang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ming Lu
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Weizhong Tian
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
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15
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Serag D, Ragab E. Prevalence of incidentally discovered findings on brain MRI in adult Egyptian population. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2020. [DOI: 10.1186/s43055-020-00187-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Apparently, asymptomatic intracranial anomalies of potential clinical significance are becoming problematic, especially with the increase of use of brain MRI by clinicians and researchers. Performing MRI at higher resolution and stronger magnetic field and with more selective sequences has led to the detection of subtle brain anomalies that were not detected previously. Incidental findings are defined as previously undetected anomalies of potential clinical relevance that are unexpectedly detected and not related to the indication of the scan.
Knowing about their existence would help clinicians to inform their patients of the potential risks and plan for long-term follow-up when indicated.
Results
Seven hundred fifty-three neurologically healthy subjects (389 males and 364 females) who underwent MRI scanning of the brain were screened for the presence of incidental findings, and the prevalence of each finding was recorded. Incidental findings were recorded in 11.7% of the subjects with meningiomas being the most commonly encountered finding (2.5%) followed by vascular malformations (aneurysms, cavernomas) in about 2% of the subjects. Meningiomas, cavernomas, and aneurysms had significantly higher prevalence in females than in males. The prevalence of neoplastic incidental findings increased with age, while the detection of non-neoplastic findings seemed to decrease with age.
Conclusion
Incidental findings were relatively common in the adult Egyptian population. The most common findings were meningiomas, followed by vascular malformations and arachnoids cysts. Knowing about their existence will help directing patients towards the proper specialist and plan for appropriate follow-up to avoid potential clinical hazards. It also raises the awareness of the importance of screening the brain scans while scanning the patient for other purposes like scanning the paranasal sinuses, orbits, and petrous temporal bones.
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16
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Jiang Y, Cui M, Tian W, Zhu S, Chen J, Suo C, Liu Z, Lu M, Xu K, Fan M, Wang J, Dong Q, Ye W, Jin L, Chen X. Lifestyle, multi-omics features, and preclinical dementia among Chinese: The Taizhou Imaging Study. Alzheimers Dement 2020; 17:18-28. [PMID: 32776666 DOI: 10.1002/alz.12171] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/01/2020] [Accepted: 07/11/2020] [Indexed: 12/14/2022]
Abstract
China has the largest number of patients with dementia in the world. However, dementia in the Chinese population is still poorly understood and under-researched. Given the differences in genetic, demographic, sociocultural, lifestyle, and health profiles among Chinese and other ethnic/racial groups, it is crucial to build appropriate infrastructure for long-term longitudinal studies to advance Chinese cognitive aging and dementia research. We initiated a community-based prospective cohort-the Taizhou Imaging Study (TIS)-to accelerate the understanding of dementia and cerebrovascular diseases in Chinese. This article presents the rationale, aims, study design, and organization of TIS. In addition, we described some examples of the types of studies such a resource might support. The TIS provides a new framework for facilitating Chinese dementia research, encompassing invaluable resources including detailed epidemiological, sociocultural, neuroimaging, and omics data.
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Affiliation(s)
- Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weizhong Tian
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Sibo Zhu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Jinhua Chen
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Zhenqiu Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Ming Lu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Biostatistics, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weimin Ye
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
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17
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Jiang Y, Zhang K, Zhu Z, Cui M, An Y, Wang Y, Suo C, Fan M, Jin L, Tian W, Chen X. Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study. Aging (Albany NY) 2020; 12:15302-15313. [PMID: 32645693 PMCID: PMC7467377 DOI: 10.18632/aging.103456] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 05/27/2020] [Indexed: 12/22/2022]
Abstract
Metabolomics provides a promising tool for understanding the pathophysiology and identifying biomarkers of atherosclerosis. We aimed to estimate the associations between circulating metabolites and subclinical atherosclerosis in a Chinese cohort. The baseline serum levels of 38 metabolites of 489 individuals were measured using nuclear magnetic resonance. Associations between metabolites and brachial-ankle pulse wave velocity (baPWV) and carotid intima-media thickness (IMT) were determined using a linear regression. A multivariate logistic regression was used to evaluate the associations of metabolites and subclinical atherosclerosis defined as high baPWV (>median) and increased IMT (>median). After adjusting for covariates and multiple testing corrections (false discovery rate; FDR), two branched-chain amino acids (BCAAs; leucine and isoleucine), one ketone (acetoacetate), and two lipids were positively associated with baPWV. Lactate was inversely associated with IMT. Elevated acetoacetate levels (odds ratio: 1.53, 95% confidence interval: 1.20-1.97; FDR <0.001) and four other lipid features were associated with an increased risk of high baPWV. Alterations in circulating lipids and BCAAs were associated with the risk of arterial stiffness in the middle-aged Chinese population. Our findings provide clues to understanding the potential mechanisms of subclinical atherosclerosis; however, further validation in a broader population context and the exploration of potential clinical applications are warranted.
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Affiliation(s)
- Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Kexun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Zhen Zhu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanpeng An
- Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai, China
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Weizhong Tian
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
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18
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Hanna KF, Sayles HR, O'Neill J, White ML, Wilson TW, Swindells S. Incidental Findings on Brain MRI in People with HIV Infection. Sci Rep 2020; 10:9474. [PMID: 32528044 PMCID: PMC7289834 DOI: 10.1038/s41598-020-66443-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 04/15/2020] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Incidental findings are a well-known complication of imaging studies done for both diagnostic and research purposes. Little is known about the rates and types of incidental findings found on brain MRI in patients with HIV infection, who may be at risk for HIV-Associated Neurocognitive Disorders (HAND). METHODS The parent study included 108 adults with HIV infection and 125 demographically-matched uninfected controls who completed MRI and neuropsychological testing. Incidental findings were classified by the study team as vascular, neoplastic, congenital, other neurologic, or non-neurologic. Categorical measures were compared using Pearson chi-square tests; continuous measures were compared using t-tests. RESULTS Among participants with HIV infection, 36/108 (33%) had incidental findings compared to 33/125 (26%) controls (p = 0.248). Rates of incidental findings were significantly correlated with increasing age in both participants with HIV infection (p = 0.013) and controls (p = 0.022). We found no correlation between presence of incidental findings and sex or race/ethnicity among either cohort, and no correlation with CD4 count or HAND status for the HIV-infected cohort. CONCLUSIONS Incidental findings were common in both participants with HIV infection and controls, at higher rates than previously reported in healthy populations. There was no significant difference in prevalence between the groups.
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Affiliation(s)
- Kevin F Hanna
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Harlan R Sayles
- Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA
| | - Jennifer O'Neill
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Matthew L White
- Department of Radiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Tony W Wilson
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Susan Swindells
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
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19
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Xia Y, Shen Y, Wang Y, Yang L, Wang Y, Li Y, Liang X, Zhao Q, Wu J, Chu S, Liang Z, Wang X, Qiu B, Ding H, Ding D, Cheng X, Dong Q. White matter hyperintensities associated with progression of cerebral small vessel disease: a 7-year Chinese urban community study. Aging (Albany NY) 2020; 12:8506-8522. [PMID: 32388497 PMCID: PMC7244059 DOI: 10.18632/aging.103154] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 04/16/2020] [Indexed: 11/25/2022]
Abstract
We aimed to explore the role of white matter hyperintensities (WMH) in progression of cerebral small vessel disease (CSVD) in an urban community in China over a period of 7 years, and to investigate associations between WMH volume (baseline and progression) and cognitive impairment. CSVD markers and neuropsychological tests at baseline and follow-up of 191 participants of the Shanghai Aging Study (SAS) were assessed. WMH volume were assessed by automatic segmentation based on U-net model. Lacunes, cerebral microbleeds (CMBs) and enlarged perivascular spaces (ePVS) were rated manually. Small vessel disease (SVD) score was rated as the total burden of CSVD markers. Global cognitive function and 5 main cognitive domains (memory, language, spatial construction, attention and executive function) were evaluated by neuropsychological tests. We performed multivariable linear regression and binominal logistic regression. Participants with higher baseline WMH volume developed more progression of WMH volume, increased risk of incident lacunes, incident CMBs, and ePVS progression. WMH (baseline and progression) were associated with decline of executive function. WMH were associated with progression of cerebral small vessel disease and decline of executive function in a Chinese urban community study over a period of 7 years.
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Affiliation(s)
- Yiwei Xia
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Yi Shen
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Yi Wang
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Lumeng Yang
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Yiqing Wang
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Yu Li
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Xiaoniu Liang
- Institute of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Institute of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianjun Wu
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China.,Department of Neurology, Jing'an District Center Hospital, Shanghai, China
| | - Shuguang Chu
- Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zonghui Liang
- Department of Radiology, Jing'an District Center Hospital, Shanghai, China
| | - Xiaoxiao Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Bensheng Qiu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Hansheng Ding
- Shanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, China
| | - Ding Ding
- Institute of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xin Cheng
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
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20
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Zhu Z, Jiang Y, Cui M, Wang Y, Li S, Xu K, Zhang K, Zhu C, Xu W, Jin L, Ye W, Suo C, Chen X. ALDH2 rs671 polymorphisms and the risk of cerebral microbleeds in Chinese elderly: the Taizhou Imaging Study. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:229. [PMID: 32309376 PMCID: PMC7154495 DOI: 10.21037/atm.2020.01.01] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Background Cerebral microbleeds (CMBs) are more prevalent in Asian populations, and have been associated with increased risk of stroke, dementia and mortality. So far, risk factors for CMBs other than hypertension were merely known. Previous studies have shown that polymorphisms at aldehyde dehydrogenase 2 (ALDH2) gene were independently associated with the risk of stroke. Its role in CMBs, however, remains unclear. This study aimed to evaluate the associations of ALDH2 gene polymorphisms with CMBs in Chinese elderly. Methods Using bio-specimen and data collected at baseline survey of the population-based Taizhou Imaging Study (TIS) (phase I), we genotyped the single nucleotide polymorphisms (SNPs) at ALDH2 among 549 individuals aged 55–65 years, and rs671 was used as surrogate marker of ALDH2. CMBs were detected on brain magnetic resonance imaging (MRI), and further categorized as strictly lobar or as deep/mixed. Logistic regression models were used to evaluate the associations of the variants at ALDH2 and CMBs. Results CMBs were present in 103 individuals (18.8%). Forty-one point three percent participants were with ALDH2 *2 allele and 5.1% had ALDH2 *2/*2 genotype. Subjects with ALDH2 *1 allele were more likely to be drinker, have hypertension or CMBs than those with *2 allele (all P<0.05). Multivariate logistic regression model showed that the ALDH2 *1/*1 genotype was independently associated with CMBs (P=0.013), particularly for deep/mixed CMBs (P=0.008), and the association was more pronounced in men, non-drinkers or hypertension patients. Conclusions The results suggest that Han Chinese with ALDH2 *1/*1 genotype may be more susceptible to CMBs than those with ALDH2 *2 allele.
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Affiliation(s)
- Zhen Zhu
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200438, China.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200030, China
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200030, China
| | - Shuyuan Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Kelin Xu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,School of Data Science and Institute for Big Data, and the Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai 200433, China
| | - Kexun Zhang
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200438, China.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China
| | - Chengkai Zhu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Wanghong Xu
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200438, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, China.,School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Weimin Ye
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,Department of Medical Epidemiology and Biostatistics, Karolinska Instituted, Stockholm, Sweden
| | - Chen Suo
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200438, China.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200438, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, China
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21
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Li P, Wang Y, Jiang Y, Zhang K, Yang Q, Yuan Z, Zhu Z, Tang W, Fan M, Ye W, Dong Q, Jin L, Ding D, Cui M, Chen X. Cerebral small vessel disease is associated with gait disturbance among community-dwelling elderly individuals: the Taizhou imaging study. Aging (Albany NY) 2020; 12:2814-2824. [PMID: 32045885 PMCID: PMC7041732 DOI: 10.18632/aging.102779] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 01/19/2020] [Indexed: 06/10/2023]
Abstract
Gait disturbance is considered to be a significant clinical manifestation of cerebral small vessel disease (CSVD). We aimed to investigate the association between different imaging markers of CSVD or total CSVD burden and gait disturbance in a community-dwelling population. In the cross-sectional Taizhou Imaging Study (TIS), 314 participants free of neurological disorders underwent MRI scanning and gait assessment with quantitative wearable devices as well as clinical rating scales. In linear regression, after adjustment for demographics and vascular risks, total CSVD burden was associated with prolonged 3-m walking (β=0.118, P=0.035), shorter stride length (β=-0.106, P=0.042), and poorer Timed-Up-and-Go (TUG) performance (β=0.146, P=0.009). Lacunes were positively associated with 3-m walking (β=0.118, P=0.037) and duration of TUG test (β=0.112, P=0.047). White matter hyperintensities and cerebral microbleeds were associated with prolonged stride time (β=0.134, P=0.024) and increased stance phase time percentage (β=0.115, P=0.038), respectively. Logistic regression revealed that participants with high CSVD burden or more lacunes were more likely to have an impaired gait velocity and an impaired TUG test. These results suggest that total CSVD burden and CSVD imaging markers are associated with gait disturbance among community-dwelling elderly people. Different CSVD imaging markers may cause gait disturbance through different pathways.
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Affiliation(s)
- Peixi Li
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering and the Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
- Human Phenome Institute, Fudan University, Shanghai 200438, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
| | - Kexun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Qi Yang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Ziyu Yuan
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
| | - Zhen Zhu
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Weijun Tang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou 225400, Jiangsu, China
| | - Weimin Ye
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering and the Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
- Human Phenome Institute, Fudan University, Shanghai 200438, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
| | - Ding Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering and the Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
- Human Phenome Institute, Fudan University, Shanghai 200438, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
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22
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Zhang K, Jiang Y, Wang Y, Suo C, Xu K, Zhu Z, Zhu C, Zhao G, Jin L, Ye W, Cui M, Chen X. Associations of Arterial Stiffness and Carotid Atherosclerosis with Cerebral Small Vessel Disease in a Rural Community-Based Population. J Atheroscler Thromb 2020; 27:922-933. [PMID: 32037371 PMCID: PMC7508727 DOI: 10.5551/jat.52530] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
AIMS We aimed to examine the associations of four extracranial artery indicators with cerebral small vessel disease (CSVD) and its total burden. METHODS A total of 904 individuals aged 55-65 years old were included from the Taizhou Imaging Study. CSVD markers, including lacunes (LAC), white matter hyperintensities (WMH), cerebral microbleeds (CMB), and perivascular spaces (PVS), were rated based on brain magnetic resonance imaging. We also measured extracranial artery indices, including the brachial-ankle pulse wave velocity (baPWV), the ankle-brachial index, the carotid intima-media thickness (IMT), and carotid plaque. Linear and binary logistic regressions were adopted to test the associations among these four artery indicators and each CSVD marker when appropriate. Additionally, ordinal and multinomial logistic regressions were performed to assess the relationships between artery indicators and total CSVD score (range from 0-4 points). RESULTS A total of 443 (49.0%) participants were found to have at least one of the CSVD markers, including 172 (19.0%) with WMH, 184 (20.4%) with LAC, 147 (16.3%) with CMB, and 226 (25.0%) with PVS. Increased baPWV was significantly associated with each CSVD marker, increasing carotid IMT was associated with LAC and PVS, and the presence of carotid plaque was associated with WMH volume and PVS. Moreover, per SD increment of baPWV (odds ratio [OR]: 1.29, 95% confidence interval [CI]: 1.11-1.50) and the presence of carotid plaque (OR: 1.42, 95% CI: 1.05-1.92) were significantly associated with greater total CSVD scores. CONCLUSION Increased baPWV and the presence of carotid plaque appear to be associated with total CSVD burden in rural regions in China.
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Affiliation(s)
- Kexun Zhang
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University.,Fudan University Taizhou Institute of Health Sciences
| | - Yanfeng Jiang
- Fudan University Taizhou Institute of Health Sciences.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University
| | - Chen Suo
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University.,Fudan University Taizhou Institute of Health Sciences
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences.,Department of Biostatistics, and Key Laboratory of Public Health Safety, School of Public Health, Fudan University
| | - Zhen Zhu
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University.,Fudan University Taizhou Institute of Health Sciences
| | - Chengkai Zhu
- Fudan University Taizhou Institute of Health Sciences.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University.,School of Life Sciences, Fudan University
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University
| | - Li Jin
- Fudan University Taizhou Institute of Health Sciences.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University.,School of Life Sciences, Fudan University
| | - Weimin Ye
- Fudan University Taizhou Institute of Health Sciences.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University
| | - Xingdong Chen
- Fudan University Taizhou Institute of Health Sciences.,State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University
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